About Lakshmi Praneeth Revanth Kumar Potu

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    California, United States
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About me

As a data science student at University at Buffalo, I am passionate about applying my programming, statistical analysis, and machine learning skills to solve real-world problems. I have completed multiple academic projects and self-learning courses that demonstrate my proficiency in Python, R, SQL, web development, and data visualization.

I have also gained hands-on experience in data analytics and predictive modeling as a data analysis intern at Mahaveer Soft Solutions Pvt Ltd, where I worked with a team of data engineers and analysts to deliver insights and recommendations for a large e-commerce client. I used various tools and techniques, such as pandas, scikit-learn, Tableau, and regression analysis, to process, analyze, and visualize data, and to build and evaluate machine learning models. I am eager to join a dynamic and innovative team in the field of data science, where I can continue to grow, contribute, and make an impact.

Education

  • 2022 - 2023
    University at Buffalo, The State University of New York

    Master of Science in Data Science

    CGPA- 3.914/4.0 Relevant Coursework: statistical data mining, Database Management Systems, Programming Fundamentals, Intro to Machine Learning, Fundamentals of Computational science, Cybersecurity, data structures and algorithms

  • 2018 - 2022
    Sathyabama Institute of Science and Technology

    Bachelor of Engineering in Computer Science and Engineering

    CGPA - 7.92/10

Experience

  • 2022 - 2022
    Mahaveer Soft Solutions

    Data Analysis Intern

    • Conducted data analysis with Numpy and Pandas, generating visualizations and reports to support
    decision-making.
    • Experimented with machine learning algorithms using scikit-learn and TensorFlow in a supervised setting.
    • Collaborated on optimizing three ML models and contributed to key project deliverables, supporting senior data
    scientists.

  • 2021 - 2021
    Shiash Info Solutions

    Software Engineer Intern

    • Used Python to improve the efficiency of tools, which reduced cloud VPC costs by 40%.
    • Developed and Tested ARAS Features: Utilized Python for AML scripting and conducted rigorous testing to ensure
    the seamless rollout of new ARAS features.

Skills

and Lambda c CSS EC2. Familiar with fundamental AWS services such as S3 HTML Jupyter Notebook Keras Matplotlib Ms Excel Ms office suite NodeJS Numpy Pandas Power Bi python Pytorch R Sci-kit learn Seaborn sql Tableau VS Code
 
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